An internal state variable plasticity-based approach to determine dynamic loading history effects on material property in manufacturing processes

Guo, Y. B.; Wen, Qiuling; Horstemeyer, M.F.

doi:10.1016/j.ijmecsci.2005.04.015

Cited by 112 publications

(40 citation statements)

References 17 publications

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“…Most of the current research work focuses on the modified Johnson-Cook (JC) flow stress model to include the possible microstructure change in the shear zone. A semi-empirical flow stress model is developed by Guo et al [39] to capture the dislocation density change in the primary shear zone. In order to explain the obvious strain softening effect at the high speed machining process, Calamaz et al [40] introduced a TANH (hyperbolic tangent) term into the traditional Johnson-cook flow stress model.…”

Section: Materials Microstructure Effects On Machining Forcesmentioning

confidence: 99%

Material microstructure affected machining: a review

2017

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-The machining induced material microstructure evolution path is determined from the temperature and mechanical loading history. Inversely, the machining forces and machined part surface integrity are dependent on the material microstructure attributes. Most of the previous research work with a microstructure consideration in machining stays largely on the experimental observation stage. A comprehensive thermal-mechanical-microstructure coupled machining process modeling framework is still missing. This paper reviews the recent research work on the material microstructure evolution in the context of machining components. The material microstructure property change on the workpiece material in the machining process are analyzed. The effects of material microstructure evolution on workpiece mechanical properties and surface integrity are investigated. It is concluded that a physical based material microstructure affected machining model is needed for the machining process optimization.

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Section: Materials Microstructure Effects On Machining Forcesmentioning

confidence: 99%

Material microstructure affected machining: a review

2017

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“…Although there are other possibilities causing work softening during high temperature deformation, such as dynamic recrystallization, [8][9][10] adiabatic deformation 11) etc., atmosphere dragging is most plausible in the present case. In order to examine the occurrence of dynamic recrystallization, the compression test was conducted at 723 K up to a true strain of À0:1 close to the peak strain under the same initial strain rate as in Fig.…”

Section: Mechanism Of High Temperature Deformationmentioning

confidence: 99%

Influence of Grain Boundary Migration on {001} Texture Formation in Al-3 mass%Mg Based Alloys during High Temperature Compression Deformation

2007

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Uniaxial compression tests were conducted on Al-3 mass%Mg alloy and Al-3 mass%Mg-0.2 mass%Sc alloy under various amounts of strain and strain rate at 723 K. High temperature yielding phenomena were observed at 723 K and strain rates ranging from 1:0 Â 10 À4 s À1 to 5:0 Â 10 À3 s À1 . Texture examination elucidated that fiber textures were constructed in all the deformation conditions. Texture measurement revealed that the main component of the fiber texture changed from f011g þ f001g to {001} with an increase in strain when the viscous motion of dislocation is the dominant deformation mechanism in the binary alloy. Texture changes are also seen at strength of the {001} component in the binary alloy that increased with increase in strain rates between 5:0 Â 10 À4 s À1 and 5:0 Â 10 À3 s À1 up to a strain of À1:0, while in the ternary alloy, neither variation of the pole density at (011) nor (001) in inverse pole figure is observed in the same deformation conditions. It is considered that Al 3 Sc precipitates contribute to the suppression of grain boundary migration. This means that the grain boundary migration contribute to the development of {001} fiber texture.

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“…Up to date, constitutive models proposed by researchers can be sorted into three different types: phenomenological, semi-empirical based and physically based models, respectively. For example: the Mechanical Threshold Stress (MTS) model [11] and the Bammann-ChiesaJohnson(BCJ) model [12], two physically based models which are based on specific physical theory , are capable of providing good agreement with the experimental results. However, parameters for these two models are difficult to obtain as they always require some data from strictly controlled experimental conditions.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Equations to Predict Stress‐Strain Behaviour for a β Titanium Alloy at High Strain Rates Over a Wide Range of Temperatures

Zhan

Gui

Kent

et al. 2016

Proceedings of the 13th World Conference on Titanium

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Stress-strain curves of the Ti-6Cr-5Mo-5V-4Al (Ti6554) alloy obtained from Split Hopkinson Pressure Bar (SHPB) tests over a wide range of temperatures (293-1173K) and strain rates (10 3 -10 4 s -1 ) were employed to fit parameters for the Johnson-Cook(JC) and the Zerilli-Armstrong(ZA) models, respectively. The JC model is able to capture the stress-strain behaviour of the Ti6554 alloy better than the ZA model. However, the limit of the JC model is that it can only predict the flow behaviour accurately in a narrow domain near the strain value which is fixed in the parameters fitting. Also the format of the JC model is inadequate to track the complex strain-hardening behaviour of the Ti6554 alloy.

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An internal state variable plasticity-based approach to determine dynamic loading history effects on material property in manufacturing processes

Cited by 112 publications

References 17 publications

Material microstructure affected machining: a review

Material microstructure affected machining: a review

Influence of Grain Boundary Migration on {001} Texture Formation in Al-3 mass%Mg Based Alloys during High Temperature Compression Deformation

Constitutive Equations to Predict Stress‐Strain Behaviour for a β Titanium Alloy at High Strain Rates Over a Wide Range of Temperatures

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